At a Glance
- Tasks: Design and deliver cutting-edge AI solutions while leading technical projects.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Enjoy competitive pay, health perks, and flexible working options.
- Other info: Dynamic team culture with great learning and growth opportunities.
- Why this job: Make a real impact in the AI field and shape future technologies.
- Qualifications: 6+ years in AI/ML with strong Python skills and cloud experience.
The predicted salary is between 70000 - 90000 £ per year.
We're looking for a Senior AI Engineer & Data Science Consultant to join our team in London, United Kingdom in a hybrid working mode. This role is part of EPAM’s Data & AI Practice and combines hands-on engineering leadership with technical consulting expertise. You will design and deliver production-grade Generative AI and Agentic AI solutions while engaging stakeholders and shaping strategic AI initiatives. If you’re passionate about multi-agent systems, advanced RAG pipelines, and delivering end-to-end AI solutions that create measurable business impact, this role offers both technical depth and leadership scope.
Responsibilities
- Design, build, and deploy Generative AI and Agentic AI solutions through the full lifecycle from prototype to production
- Implement and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK
- Create orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflows
- Build RAG pipelines with embeddings, chunking strategies, hybrid search, retrieval evaluation, and enterprise data grounding
- Architect reusable AI design patterns including human-in-the-loop workflows and multi-agent coordination models
- Apply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC)
- Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectations
- Ensure delivery adheres to AI governance, data privacy, and regulatory frameworks
- Support pre-sales activities through technical solutioning, demos, and PoC development
- Apply observability and monitoring using tools like Langfuse, Arize, and OpenTelemetry
- Contribute to architecture decisions and technical standards across engagements
Requirements
- 6+ years in AI/ML engineering, data science, or applied AI roles within professional services or enterprise environments
- Proven experience building and deploying Generative AI and Agentic AI solutions into production
- Expertise in LLMs, advanced RAG strategies, prompt engineering, and model evaluation approaches
- Hands‑on experience with multi‑agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)
- Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI‑based integration
- Strong Python development skills and knowledge of CI/CD, DevOps, and cloud‑native architectures
- Practical experience with Azure (Azure OpenAI, Azure AI Foundry, AI Search) and familiarity with AWS or GCP
- Proficiency with containerized deployment, MLOps tooling (MLFlow, Airflow), and infrastructure‑as‑code practices
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Nice to have
- Experience with Azure AI Agent Service or Microsoft Agent Framework
- Familiarity with vector databases (Pinecone, Weaviate, Qdrant, Milvus)
- Knowledge of AI safety techniques such as guardrails, bias mitigation, and model explainability
- Understanding of Intelligent Document Processing, data lineage, and distributed memory for agent systems
- Experience enabling responsible and auditable AI governance
We offer
- EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on‑site massages and regular social events
- Learning and development opportunities including in‑house training and coaching, professional certifications, and courses
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long‑Term Incentive (LTI) Program
Senior AI/Data Science Consultant in London employer: EPAM Systems
EPAM is an exceptional employer for those passionate about AI and data science, offering a dynamic hybrid work environment in London. With a strong focus on employee growth through in-house training, professional certifications, and a culture that promotes innovation and collaboration, EPAM ensures that its team members are well-supported both personally and professionally. The unique benefits, including an Employee Stock Purchase Plan, private medical insurance, and engaging social events, make it a rewarding place to build a meaningful career in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/Data Science Consultant in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI and multi-agent systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. Be ready to discuss your experience with frameworks like LangGraph and your approach to building RAG pipelines.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI/Data Science Consultant in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior AI/Data Science Consultant role. Highlight your hands-on experience with Generative AI and multi-agent systems, as well as any relevant projects you've led.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our needs. Share specific examples of your work in AI/ML engineering and how you've made an impact in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your expertise in frameworks like LangGraph or CrewAI, and your proficiency in Python. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at EPAM Systems
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and Agentic AI solutions. Be ready to discuss your hands-on experience with frameworks like LangGraph and CrewAI, as well as your understanding of advanced RAG strategies. This will show that you're not just familiar with the concepts but have actually applied them in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led AI projects in the past. Talk about managing timelines, stakeholder expectations, and how you ensured adherence to AI governance and data privacy. Highlighting your ability to lead will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your Python skills, CI/CD practices, and cloud-native architectures. Be ready to explain your approach to building and deploying AI solutions, including any challenges you faced and how you overcame them.
✨Engage with the Interviewers
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives and how they align with your career goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it makes for a more engaging conversation!
